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Crowd Labor Markets as Platform for Group Decision and Negotiation Research : a Comparison to Laboratory Experiments

Title data

Teschner, Florian ; Gimpel, Henner:
Crowd Labor Markets as Platform for Group Decision and Negotiation Research : a Comparison to Laboratory Experiments.
In: Group Decision and Negotiation. Vol. 27 (April 2018) Issue 2 . - pp. 197-214.
ISSN 1572-9907
DOI: https://doi.org/10.1007/s10726-018-9565-y

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Abstract in another language

Crowd labor markets such as Amazon Mechanical Turk (MTurk) have emerged as popular platforms
where researchers can relatively inexpensively and easily run web-based experiments. Some work even
suggests that MTurk can be used to run large-scale field experiments in which groups of participants
interact synchronously in real-time such as electronic markets. Besides technical issues, several
methodological questions arise and lead to the question of how results from MTurk and laboratory
experiments compare. Our data shows comparable results between MTurk and a standard lab setting
with student subjects in a controlled environment when running rather simple individual decision tasks.
However, our data shows stark differences in results between the experimental settings for a rather
complex market experiment. Each experimental setting – lab and MTurk – has its own benefits and
drawbacks; which of the two settings is better suited for a specific experiment depends on the theory or
artifact to be tested. We discuss potential causes for differences (language understanding, education,
cognition and context) that we cannot control for and provide guidance for the selection of the
appropriate setting for an experiment. In any case, researchers studying complex artifacts like group
decisions or markets should not prematurely adopt MTurk based on extant literature regarding
comparable results across experimental settings for rather simple tasks.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Experiments; Mechanical Turk; Electronic Markets; Information Aggregation
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 28 Feb 2018 09:31
Last Modified: 12 Dec 2018 08:18
URI: https://eref.uni-bayreuth.de/id/eprint/42399